gemini-faf-mcp: Instructions file for Claude Code

CLAUDE.md

gemini-faf-mcp CLAUDE.md is an instructions file for Claude Code from Wolfe-Jam/gemini-faf-mcp. It costs 412 tokens per session, scanned A, original, MIT.

Project instructions for a Python MCP server that reads, validates, scores, and exports .faf files containing structured project context for AI tools.

In plain words
What is it for?
Use it to work on the server's Python code, MCP and REST interfaces, .faf project-DNA handling, tests, and deployment setup.
Why use it?
It helps developers give an AI coding assistant project information in a consistent file format instead of repeating the context in every session.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions Gemini CLI.

This is Wolfe-Jam/gemini-faf-mcp's own configuration. It tells Claude Code how to work on gemini-faf-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything gemini-faf-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Wolfe-Jam/gemini-faf-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Wolfe-Jam/gemini-faf-mcp/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/Wolfe-Jam/gemini-faf-mcp

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for gemini-faf-mcp CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/wolfe-jam/gemini-faf-mcp/claude-md/github.svg)](https://agentmods.dev/instructions/wolfe-jam/gemini-faf-mcp/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/wolfe-jam/gemini-faf-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/wolfe-jam/gemini-faf-mcp/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for gemini-faf-mcp CLAUDE.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/wolfe-jam/gemini-faf-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/wolfe-jam/gemini-faf-mcp/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 412 This file is loaded in full into every session.
When invoked 412 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00412 $0.00412
Opus 5 $0.00206 $0.00206
Sonnet 5 $0.00082 $0.00082
Haiku 4.5 $0.00041 $0.00041

Measured today against content hash 9365837413b8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

gemini-faf-mcp CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

CLAUDE.md · 43 lines

What it actually says

CLAUDE.md — gemini-faf-mcp

What This Is

MCP server for FAF — read, validate, auto-detect, score, and export IANA-registered .faf project DNA from Gemini CLI

Stack

  • Language: Python
  • Backend: Python
  • Main Language: Python
  • Runtime: Python 3.11+
  • Package Manager: pip
  • Build: setuptools
  • Database: BigQuery
  • API: MCP (stdio) + HTTP/REST
  • Connection: MCP (stdio) + HTTP/REST
  • Testing: pytest + WJTTC 9-tier championship suite
  • Hosting: Google Cloud Run
  • CI/CD: GitHub Actions
  • Target User: developers
  • Core Problem: AI tools lack structured project context
  • Mission Purpose: Give any AI structured project context via IANA-registered .faf files
  • Frameworks: FastMCP,faf-python-sdk,functions-framework

Context

  • Who: Gemini CLI developers who want instant project context
  • What: MCP server that reads, validates, scores, and exports .faf project DNA
  • Why: Eliminate re-explaining your project every Gemini session
  • Where: Gemini CLI via Extensions Gallery, local MCP server
  • When: Every coding session — context loads automatically via GEMINI.md
  • How: Install extension, run /gemini-faf-mcp:setup, project DNA flows to Gemini

STATUS: BI-SYNC ACTIVE — 2026-09-08T22:45:36.735Z

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. today Changed 9365837413b8
  2. yesterday Changed 4dc2f425610b
  3. 9d ago First seen · 43 lines · 412 tokens per session scan A fa231413f0d6

Subscribe to this mod's changes

gemini-faf-mcp CLAUDE.md is an instructions file published in the GitHub repository Wolfe-Jam/gemini-faf-mcp (2 stars, last pushed today), licensed MIT. It adds 412 tokens to every session, about $0.0021 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other instructions, from other repositories

next.js AGENTS.md

AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js · 7,296 tokens

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,153 tokens

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 6,785 tokens

vscode oss-third-party-notices.instructions.md

Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).

microsoft/vscode · 5,001 tokens

langchain AGENTS.md

AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.

langchain-ai/langchain · 4,469 tokens

deepseek-harness AGENTS.md

AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.

deepseek-ai/deepseek-harness · 3,735 tokens